Konzeption digital vernetzter Produktionen*/Conception of digitally connected productions – Goal-oriented design of integrated production systems using maturity models for industry 4.0

2019 ◽  
Vol 109 (07-08) ◽  
pp. 527-530
Author(s):  
R. Ungern-Sternberg ◽  
C. Leipoldt ◽  
K. Erlach
Keyword(s):  
Industry 4.0 ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Maturity Model ◽  
Wird Eine ◽  
Maturity Models ◽  
Integrated Production ◽  
System P ◽  
A Company ◽  
Oriented Approach

Technologieorientierte Ansätze bei der Konzeption von digitalisierten Produktionssystemen können zu Inkohärenzen und geringerer Effektivität des Gesamtsystems führen. Durch den hier vorgestellten zielorientierten und reifegradbasierten Ansatz wird eine Systembetrachtung ermöglicht. Das Resultat ist ein unternehmensindividuelles, abgestimmtes Konzept zur Integration von Industrie 4.0-Lösungen in ein bestehendes schlankes Produktionssystem.   Technology oriented approaches for digitalized production systems could cause incoherencies and a limited effectivity of the overall system. The presented goal-oriented approach based on a maturity model enables an overall system evaluation. Result is a company-specific, harmonized concept to integrate Industry 4.0 solutions in an existing lean production system.

Einführung einer autonomen Produktion/Introduction of autonomous production – A maturity model including recommended actions for manufacturing companies

2020 ◽  
Vol 110 (04) ◽  
pp. 177-183
Author(s):  
Elena-Clara Neumann ◽  
Simon Schumacher ◽  
Dennis Bauer ◽  
Torben Lucht ◽  
Thomas Bauernhansl ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Success Factor ◽  
Maturity Model ◽  
Manufacturing Companies ◽  
Evolutionary Path ◽  
Industrial Companies ◽  
Current State

Industrie 4.0 ist geprägt von autonomen Produktionssystemen. Das Erreichen von Autonomie stellt viele Industrieunternehmen vor große Herausforderungen. Handlungsleitende Unterstützung bei der Einführung von Autonomie ist ein essenzieller Erfolgsfaktor. Das hier vorgestellte Reifegradmodell bietet Unternehmen die Möglichkeit, den aktuellen Entwicklungsstand, die individuelle Zielsetzung und den entsprechenden evolutionären Weg dahin zu identifizieren.   The vision of industry 4.0 is characterized by autonomous production systems. Achieving this autonomy is a major challenge for many industrial companies. Supporting the implementation of autonomy is an essential success factor. The maturity model presented in this article offers an opportunity for companies to identify the current state of development, their individual objectives and the corresponding evolutionary path for implementation.

scholarly journals Company maturity models: Application to supplier development program in oil&gas sector

2018 ◽  
Vol 11 (2) ◽  
pp. 187
Author(s):  
Jabier Retegi Albisua ◽  
Juan Ignacio Igartua López
Keyword(s):  
Development Program ◽  
Maturity Model ◽  
Supplier Development ◽  
Medium Term ◽  
Self Assessment ◽  
Maturity Models ◽  
Improvement Project ◽  
Road Map ◽  
Oil Gas ◽  
A Company

Purpose: In order to achieve excellence, outsourced maintenance contractors in Oil&Gas sector play a key role due to the important impact of their task on security, availability and energy consumption. This paper presents the process followed in order to implement a Supplier Development Program in a refinery using Company Maturity Model (CoMM) and the results obtained in three cases validating the method to obtain a strategic improvement project medium term grid.Design/methodology/approach: The methodology followed consists of constructing a CoMM capturing the knowledge existing in the refinery and applying it with three supplier improvement teams. Findings and conclusions have arised through an observation of the three processes and extracting common conclusions.Findings: The resulting CoMM has been used for self-assessment by three suppliers and has demonstrated its potential to define a medium-term improvement project road map validated by the customer. Furthermore, during the design and application processes, the contribution of CoMMs to the SECI process of knowledge management has been observed.Practical implications: The use of CoMMs in a service contractor context can be applied in other sectors. It contributes to alignment of targets between the supplier and customer companies and to knowledge sharing inside both firms.Originality/value: Maturity models in many transversal fields (CMMI, EFQM, BPMM, PEMM, etc.) have been thoroughly studied in the literature. Less effort has been made analysing the case of using maturity models constructed and implemented by a company for its specific purposes. In this paper, the process followed by a company to establish a Supplier Development Process using CoMMs is described.

scholarly journals A Critical Review of Smart Manufacturing & Industry 4.0 Maturity Models: Applicability in the O&G Upstream Industry

2021 ◽  
Author(s):  
Chinedu Onyeme ◽  
Kapila Liyanage
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Oil And Gas ◽  
Manufacturing Sector ◽  
Transition Process ◽  
Smart Manufacturing ◽  
Maturity Model ◽  
Business Organizations ◽  
Initial State ◽  
Maturity Models

The shift towards Industry 4.0 is a fundamental driver of improved changes observed in today’s business organizations. The difficulties in adapting to this new approach pose challenges for many companies especially in the oil and gas (O&G) upstream sector. To make this path much feasible for companies in this industry, Maturity Models (MMs) are very useful tools in achieving this following their use in evaluation of the initial state of a company for planned development journey towards Industry 4.0 (I4.0) readiness and implementation. Study shows that only a limited number of O&G specific roadmaps, MMs, frameworks and readiness assessments are available today. This paper aims to review the currently available Industry 4.0 MMs for manufacturing industries and analyze their applicability in the O&G upstream sector using the systematic literature review (SLR) methodology, recognizing the specific requirements of this industry. The study looks at the key characteristic for O&G sector in relation to the manufacturing sector and identifies research gaps needed to be addressed to successfully support the O&G sector in readiness for Industry 4.0 implementation. An Industry 4.0 maturity model that reflects the industrial realities for the O&G upstream sector more accurately from insights drawn from the reviews of existing MMs is proposed. This reduces the challenges of the transition process towards Industry 4.0 and provides support for the critical change desired for improved efficiency in the sector.

Einfluss von Industrie 4.0 auf die Fabrikplanung*/Impact of Industry 4.0 on factory planning - Effects of the special characteristics of cybertronic production systems on factory planning

2015 ◽  
Vol 105 (04) ◽  
pp. 190-194
Author(s):  
J. C. Aurich ◽  
C. Steimer ◽  
H. Meissner ◽  
N. Menck
Keyword(s):  
Industry 4.0 ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Shop Floor ◽  
Factory Planning

Im Rahmen von Industrie 4.0 ergeben sich durch cybertronische Produktionssysteme (CTPS) neue Möglichkeiten in der Produktion. Dieser Fachbeitrag thematisiert die Fragestellung, wie sich neue Charakteristika zukünftiger CTPS auf deren Planung auswirken und welchen Einfluss Industrie 4.0 auf den Fabrikplanungsprozess ausübt.   In the context of Industry 4.0 (Integrated Industry), cybertronic production systems (CTPS) provide new opportunities on the shop floor. This article addresses how new characteristics of future CTPS affect the planning of these systems and how Industry 4.0 impacts factory planning.

scholarly journals Three stage maturity model in SME’s toward industry 4.0

2016 ◽  
Vol 9 (5) ◽  
pp. 1119 ◽  
Author(s):  
Jaione Ganzarain ◽  
Nekane Errasti
Keyword(s):  
Industry 4.0 ◽  
Process Model ◽  
Capacity Assessment ◽  
Maturity Model ◽  
New Approach ◽  
Business Operations ◽  
Recent Developments ◽  
Stage Process ◽  
A Company ◽  
Specific Project

Purpose: To address the challenges regarding the concept of Industry 4.0 and the diversification methodology and based on the strategic guidance towards Industry 4.0, we propose a process model as a guiding framework for Industry 4.0 collaborative diversification vision, strategy and action building. In this paper we suggest a stage process model to guide and train companies to identify new opportunities for diversification within Industry 4.0. Systematically carrying out the stages will take a company to their individual specific vision and collaborative vision between different companies in the Industry 4.0 scenario.Design/methodology/approach: This new collaborative diversification methodology involves industry within the pilot program; from the diversification and capacity assessment analysis of the company`s profile, skills and technologies that dominates, to identify the diversification opportunity map and its business modeling within the Industry 4.0 paradigm.Findings: The application of maturity models to the Industry 4.0 may help organizations to integrate this methodology into their culture. Results show a real need for guided support in developing a company-specific Industry 4.0 vision and specific project planning.Originality/value: Industry 4.0 promotes a vision where recent developments in information technology are expected to enable entirely new forms of cooperative engineering and manufacturing. The vision of industry 4.0 describes a whole new approach to business operations, and especially the production industries. To address the challenges regarding the concept of Industry 4.0 and the diversification methodology discussed above, and based on the strategic guidance towards Industry 4.0, we propose a unique process model as a guiding framework for Industry 4.0 collaborative diversification vision, strategy and action building.

scholarly journals Is the Maturity Model applicable in Vietnam?

2020 ◽  
Vol 16 (9) ◽  
pp. 11
Author(s):  
Vu Thi Tuyet Mai ◽  
Nguyen Thi Phuong Thu
Keyword(s):  
Embedded Systems ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Production Model ◽  
Maturity Model ◽  
Manufacturing Enterprise ◽  
Maturity Models ◽  
Specific Data ◽  
Manufacturing Enterprises ◽  
Industrial Enterprises

Manufacturing enterprises are currently facing many challenges of industrial revolution 4.0 when beginning to change the production model, working with embedded systems which can collect and transmit specific data. The application of maturity models to the Industry 4.0 may help organizations to address the challenges regarding the concept of Industry 4.0 and the diversification methodology. This research is going to examine the application of a maturity model for assessing Industry 4.0 created by Schumacher et al. (2016). The Maturity model of Schumacher et al. (2016) was built to assess the maturity and to infiltrate of the enterprises manufacturing into the Industry 4.0. The purpose of this paper is examining the applicable of using the Maturity model in evaluating the maturity of industrial enterprises in Vietnam toward industry 4.0. The issues will be addressed in this paper: i) The nature of Industry 4.0 and challenges for the manufacturing enterprises; ii) The Maturity model for manufacturing enterprises towards Industry 4.0; iii) The process of applying Maturity model in assessing the manufacturing enterprise towards Industry 4.0; iv) Some initial recommendations for Vietnamese manufacturing enterprises and v) Conclusion.

Semantische Kommunikationsschnittstellen zur Zustandsüberwachung im Karosseriebau/Standardised I4.0 communication interfaces – Requirements and measures to establish I4.0 principles in modern production systems

2016 ◽  
Vol 106 (10) ◽  
pp. 699-704
Author(s):  
H. Fleischmann ◽  
J. Kohl ◽  
A. Blank ◽  
M. Schacht ◽  
J. Fuchs ◽  
...  
Keyword(s):  
Communication Networks ◽  
Industry 4.0 ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Efficient Implementation ◽  
Smart Factory ◽  
Vehicle Body ◽  
Body Construction ◽  
Semantic Communication ◽  
Smart Factories

Industrie 4.0-Technologie verspricht Unterstützung bei der Erfüllung komplexer Produktionsaufgaben. Bisher verhindern jedoch historisch gewachsene, industrielle Kommunikationsnetze durch die oft wenig semantische, strikte Kommunikation entlang der bestehenden Ebenen der Automatisierungspyramide eine effiziente Umsetzung der Prinzipien von „Smart Factories“. Diese Veröffentlichung thematisiert die Entwicklung semantischer Kommunikationsschnittstellen am Beispiel des Karosseriebaus der Audi AG.   Industry 4.0 technology promises to support the fulfillment of complex production tasks. Even today, historically grown industrial communication networks prevent an efficient implementation of smart factory principles, especially due to a lack of semantics and the strict communication along the existing layers of the automation pyramid. This publication focuses on the development of semantic communication interfaces using the example of the digitalization of the vehicle body construction at the Audi AG.

Continuous Improvement Maturity Models

2021 ◽  
pp. 1901-1914
Author(s):  
Brian J. Galli
Keyword(s):  
Competitive Advantage ◽  
Continuous Improvement ◽  
Maturity Model ◽  
Model Assessment ◽  
Structured Interviews ◽  
Maturity Models ◽  
Skill Sets ◽  
Is Research ◽  
Practice Models ◽  
A Company

Maturity models seek to enhance a business with the passage of time. The purpose is to attain a competitive advantage. Various maturity models are accessible, including the continuous improvement maturity model (CIMM). The model offers outstanding techniques and practice models in addition to tools, skill sets, and a proper mindset to process improvement. This article analyzes the need for Continuous Improvement Maturity Models in a company. Hence, the current maturity of a company cannot be indicated by this model. There is a need for progress and knowledge to combine and improve the company's level of maturity. The model assessment refers to an instrument that is research-based and assists the users to set a goal assessment of the maturity level. The purpose of designing this model is for it to be utilized by any manufacturing company. A series of repetitive phases are required by this instrument, and its moderations and validation are based on various case-studies and semi-structured interviews conducted with experts.

Development of an Industry 4.0 maturity model for the delivery process in supply chains

2018 ◽  
Vol 13 (4) ◽  
pp. 840-883 ◽  
Author(s):  
Björn Asdecker ◽  
Vanessa Felch
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Reference Model ◽  
Design Science ◽  
Model Development ◽  
Science Research ◽  
Maturity Model ◽  
Maturity Models ◽  
Content Type ◽  
The Status

Purpose This paper aims to show that current Industry 4.0 maturity models primarily focus on manufacturing processes. Until now, research has been lacking with regard to outbound logistics, that is, the delivery process. This paper develops such a model. Design/methodology/approach Methodologically, this paper is grounded in design science research (DSR) and rigorously follows the model development guidelines presented by De Bruin et al. (2005). This work builds on current maturity models and original empirical research to populate and test the model. Findings The model appears to be applicable to describing the status quo of the digitization efforts in outbound logistics, developing a corporate vision for delivery logistics excellence and providing guidance on the development path. Research limitations/implications Thus far, the model has been applied only for a development stakeholder. For further validation, the authors are currently working on additional case studies to demonstrate the model’s applicability. Practical implications The developed model provides guidance for the digitization of an important value-adding activity in supply chain management: the delivery process. Originality/value To the authors’ knowledge, the proposed model is the first to explicitly consider the delivery process; therefore, it complements available approaches that focus on the manufacturing process. Moreover, the results show that the widely used Supply Chain Operations Reference model can serve as the basis for additional process maturity models.

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